Artificial Intelligence and Intelligent Systems

Code

EEEE4119

School

Electrical and Electronic Engineering

Level

4

Credits

20

Semesters

Spring UK

Summary

Selected topics from the field of artificial intelligence with particular focus on the interface with electronic systems.

Reassessment of this module, if required, will be 100% by a centrally timetabled exam in the University's resit period exam.

Target Students

MEng,MSc and PhD students of Electrical and Electronic Engineering

Classes

• Two 1-hour lectures each week for 11 weeks
• One 2-hour computing each week for 11 weeks

Assessment

• 30% Coursework 1: A single integrated report and code in the form of MATLAB live report document
• 30% Coursework 2: A single integrated report and code in the form of MATLAB live report document
• 40% Exam (2-hour)

Assessed by end of spring semester

Educational Aims

Learning Outcomes

By the end of the module, students should be able to:
LO1 Analyse available data, which may be obtained by means of experiments or simulated model, to make a conclusion regarding the nature of the problem posed
 

LO2 Apply stochastic optimisation method to design/engineer a functional artificially intelligent system
 

LO3 Select and apply the appropriate artificial intelligence-based tools to solve a multidimensional problem, considering the nature of the problem and limitation of the tools
 

LO6 Develop an efficient artificial intelligent solution process and algorithm to solve a multidimensional or data demanding problem
 

This module contributes to the delivery of the following Engineering Council outcomes:
M1, M2, C3, M3, M5, C11, M11, C12 and M12

LO5 Select, apply and adopt the appropriate risk management to ensure an inclusive artificial intelligent solution
 

LO4 Design a solution based on an artificial intelligence approach for a complex multidimensional problem considering potential health & safety, ethical and equality, diversity and inclusion concerns
 

Conveners

• Dr Sendy Phang